WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

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AI Compiler Engineer

THE ROLE:
We are building IREE as an open-source compiler and runtime solution to productionize ML on a variety of usage scenarios and hardware targets. Among them, having wide and performant GPU support is critical. We aim at a broad range of GPU coverage, from mobile to datacenter, via a unified software stack. And we want an end-to-end solution from ML framework integration down to generating efficient kernels. There will be no short of intriguing technical challenges to tackle, and there are abundant chances to collaborate with industry experts working at different layers of the stack. If this sounds interesting to you, please don’t hesitate to reach out to us!

THE PERSON:
An ideal candidate should be familiar with compilers, programming languages, high performance kernels, hardware architecture and evolution. He/she should be comfortable at performing analysis of workload and drive improvements at suitable layers. Most importantly, the candidate is willing to learn and work across boundaries.


KEY RESPONSIBILITIES:

• General feature contribution and maintenance of MLIR code generation dialects
• Design and implement improvements to various MLIR code generation dialects (e.g., Linalg, Vector, etc.) for better programmability
• Develop programming abstractions to facilitate writing high CPU/GPU performance kernels
• Follow industry directions and adopt emerging technologies in compilers and programming model
• Drive towards general solutions that benefit different hardware targets and the overall community
• Build principled and reusable compiler abstractions using MLIR at the proper level
• Quantitively analyze end-to-end model performance, identify bottlenecks, propose ideas to improve, prototype and productionize solutions.

PREFERRED EXPERIENCE:

• Familiarity with MLIR, IREE, or LLVM
• Familiarity with ML compiler techniques like tiling, distribution, vectorization, etc.
• Deep understanding of CPU/GPU hardware architectures and programming model
• Experience debugging cross-stack issues and reducing user problems to actionable execution.
• Open-source development ethos
  
  

PREFERRED ACADEMIC CREDENTIALS:

Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline

#LI-G11 

#LI-HYBRID

At AMD, your base pay is one part of your total rewards package.  Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

At AMD, your base pay is one part of your total rewards package.  Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AI Compiler Engineer

THE ROLE:
We are building IREE as an open-source compiler and runtime solution to productionize ML on a variety of usage scenarios and hardware targets. Among them, having wide and performant GPU support is critical. We aim at a broad range of GPU coverage, from mobile to datacenter, via a unified software stack. And we want an end-to-end solution from ML framework integration down to generating efficient kernels. There will be no short of intriguing technical challenges to tackle, and there are abundant chances to collaborate with industry experts working at different layers of the stack. If this sounds interesting to you, please don’t hesitate to reach out to us!

THE PERSON:
An ideal candidate should be familiar with compilers, programming languages, high performance kernels, hardware architecture and evolution. He/she should be comfortable at performing analysis of workload and drive improvements at suitable layers. Most importantly, the candidate is willing to learn and work across boundaries.


KEY RESPONSIBILITIES:

• General feature contribution and maintenance of MLIR code generation dialects
• Design and implement improvements to various MLIR code generation dialects (e.g., Linalg, Vector, etc.) for better programmability
• Develop programming abstractions to facilitate writing high CPU/GPU performance kernels
• Follow industry directions and adopt emerging technologies in compilers and programming model
• Drive towards general solutions that benefit different hardware targets and the overall community
• Build principled and reusable compiler abstractions using MLIR at the proper level
• Quantitively analyze end-to-end model performance, identify bottlenecks, propose ideas to improve, prototype and productionize solutions.

PREFERRED EXPERIENCE:

• Familiarity with MLIR, IREE, or LLVM
• Familiarity with ML compiler techniques like tiling, distribution, vectorization, etc.
• Deep understanding of CPU/GPU hardware architectures and programming model
• Experience debugging cross-stack issues and reducing user problems to actionable execution.
• Open-source development ethos
  
  

PREFERRED ACADEMIC CREDENTIALS:

Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline

#LI-G11 

#LI-HYBRID